Audio AI Research Scientist (Audio Source Separation)
Контакты
165 400 - 227 500$
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/US +8 еще
aipythonmachine learningpytorchaudio dspreal time inferencemicrophone arraysembedded deploymentaudio source separation
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$165к-228к/год
$190к$220кмедиана$260к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.4к/мес ($3.7к - $6к)
91
Крутая вакансия
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Чётко очерченная исследовательская роль в известной аудиотехнологической компании сочетает продвинутый аудио-ИИ с внедрением в устройства и работой с разными командами.
Актуальный стек
Понятная специализация
Влияние на продукты
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Audio AI Research Scientist (Audio Source Separation) (AI/audio processing): Developing real-time neural algorithms that isolate, extract, or suppress sound sources from microphone recordings for physical audio devices with an accent on source separation, spatial processing, and perceptual evaluation. Focus on handling overlapping talkers, noise, reverberation, and motion while optimizing latency, memory, computational requirements, and embedded deployment.
Location: Remote roles available in the United States, Australia, Denmark, France, Germany, Italy, Norway, Portugal, Sweden, Switzerland, and the United Kingdom; primary work location in Framingham, Massachusetts, United States
Salary: $165,400–$227,500 annual hiring range for the primary Framingham work location; ranges may vary by location
Company
hirify.global Corporation develops audio technology and premium sound experiences across multiple global business units.
What you will do
Research, prototype, train, and evaluate source separation and target extraction algorithms for speech and real-world sounds.
Develop single- and multi-microphone approaches using spatial cues and optional auxiliary sensors.
Investigate separation under overlapping talkers, noise, reverberation, and motion.
Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms, and contribute to patents and conference papers.
Requirements
Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience.
Deep hands-on experience with audio source separation, target sound extraction, speech enhancement, or related neural audio processing.
Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
Experience training and evaluating audio models in PyTorch.
Ability to tackle complex, open-ended problems through experimentation and iteration.
Understanding of objective and perceptual evaluation methods and real-time, low-power inference tradeoffs.
Strong communication skills.
Nice to have
Proficiency in Python and familiarity with C/C++.
Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment.
Publications at ICASSP, Interspeech, NeurIPS, or similar conferences.
Culture & Benefits
Full-time role within an independent, customer-focused company driven by innovation and audio technology.
Competitive base pay with bonus programs and compensation tailored to skills, experience, education, and location.
Comprehensive health and welfare benefits and a 401(k) plan.
Exclusive wellbeing perks and an employee discount on hirify.global products and experiences.
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